Data & analytics
Month-end close from eleven days to three. A warehouse reconciled to the general ledger, with one definition per metric and an owner against each.
30 minutes · no obligation · written scope estimate
3days
Month-end close
15min
Typical data latency
100%
Metrics reconciled to ledger
Overview
Three departments reporting three revenue figures is not a tooling problem. It is a definitions problem wearing a tooling costume. We start by agreeing the definitions and their owners, then build the warehouse that enforces them.
Every metric in the semantic layer reconciles to the ledger, and the reconciliation runs on every load rather than at quarter end.
What we actually fix
Three problems, in the words clients use when they describe them to us.
The problem
“Sales, finance, and operations each report a different revenue number.”
What we do
One semantic layer with a single definition and a named owner per metric, reconciled to the general ledger on every load.
Result
One number
The problem
“Month-end takes eleven days and I do not trust the result.”
What we do
Automated reconciliation inside the close checklist, so exceptions surface on day one rather than day nine.
Result
3 day close
The problem
“Our reports are twelve hours stale by the time anyone reads them.”
What we do
Incremental loading and streaming where it earns its cost, batch where it does not. We will tell you which is which.
Result
15 min latency
What you get
With a named owner, in a semantic layer, not in twelve spreadsheets.
Every load, not every quarter. Exceptions surface immediately.
dbt models your analysts can read, review, and change without us.
Streaming for the things that need it, batch for the things that do not.
Access control designed with the model, not retrofitted after an incident.
Every figure traces back to its source system and transformation.
How we work
Durations are medians. Your assessment turns them into dates.
Two weeks inside your current environment with the people who run it, not a questionnaire.
Target state and a sequence that proves the risky parts first, signed off before build.
Increments demonstrated to your process owners every two weeks rather than reported on.
Handover with runbooks, or transition to our managed service against a written SLA.
Proof
Four plants ran four different systems. Consolidated reporting took a fortnight and finance had stopped trusting it.
0
Audit findings
46%
Faster customs clearance
They gave us a fixed go-live date in week two and hit it. What I actually valued was that the handover documentation was good enough that my team ran the second plant rollout themselves.
Nguyen Thi Lan
Chief Financial Officer, Trakhon Industrial
3days
Month-end close, down from 11
By capability
Each has its own page with scope, process, deliverables, and price signal.
Make the systems you already own talk to each other.
One number, agreed by finance and operations.
Models in production, with evaluation and a rollback path.
A decision you can defend to your board.
FAQ
Usually not. The semantic layer sits beneath whatever you already use, and the problem is almost never the tool — it is that four teams built four models behind it.
Postgres is enough for a surprising number of mid-market organisations and we will say so rather than sell you a warehouse. Above roughly a terabyte of active data or heavy concurrency, Snowflake earns its cost.
Your business owners do, by name, in the semantic layer. That is the deliverable. If nobody in the organisation will own a metric, that is worth discovering during the assessment rather than after go-live.
Six to eight weeks for the first reconciled domain, usually finance. We deliberately do not start with the domain that has the prettiest charts.
Next step
An engineer, thirty minutes, and a straight answer about whether this is the right approach for you.
No sales sequence — one reply from an engineer.